Endometrial cancer survivorship in obese patients: A lifestyle intervention program
Bibliographic record
Abstract
5596 Background: The majority of early stage endometrial cancer (EC) survivors are obese, have cardiovascular disease and are at significant risk of death from causes other than cancer. The purpose of this study was to examine outcomes at 6 and 12 months in obese EC survivors enrolled in a randomized trial of a nutrition and exercise counseling program. Methods: Patients (pts) with early stage (I or II) EC with a body mass index ≥ 25 diagnosed from 1999–2005 were invited to participate. The intervention (I) group received 6 months of nutritional and exercise counseling while the control (C) group received an informational brochure only. Primary outcome variable was weight loss. Quality of life (QoL) was measured by the Functional Assessment of Cancer Therapy-General (FACT-G) and Medical Outcomes Short-form (SF-36) survey. Exercise [leisure score index (LSI)] and eating patterns (quantitative food records) were assessed at baseline, 3, 6 and 12 mos. Repeated measures ANOVA and independent samples t-test were used for analysis. A sample size of 50 pts with a type1=0.05 and type 2=0.20 error rate was used to test the hypothesis that pts in the I group would lose weight as compared to the C group. Results: 45 pts were enrolled and 23 were randomized to I and 22 to the C group, stratified by BMI. Baseline QoL was decreased in morbidly obese pts (BMI ≥ 40) as compared to pts with a BMI < 40 (FACT-G: 78.0 vs. 83.7; p=0.140; physical SF-36: 40.6 vs. 49.1 p=0.008). Women in the I group lost weight and increased exercise over the 12 mos as compared to controls ( Table ). Repeated measures ANOVA demonstrated a borderline significant interaction effect for weight (F=2.7, p=.074) and a significant interaction effect for exercise (F=5.0; p=.005) over time. The I group had lower intake of calories and total fat during the intervention. Conclusions: Obese EC survivors can undergo and maintain positive lifestyle changes. Future studies will examine long-term changes in co-morbidities and mortality. [Table: see text] No significant financial relationships to disclose.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".